[Jul 31th 2019] LabMeeting: Multi-modal siamese network for diagnostically similar lesion retrieval in prostate MRI

Alberto Rossi (DIISM, University of Siena) Jul 31, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Prostate Multi-parametric MRI (mpMRI) is a great tool to diagnose prostate cancer but is difficult to interpret even for expert radiologists. A common radiological procedure to analyze a difficult case is to compare it […]

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ACDL Satellite Workshop on Graph Neural Networks

The satellite ACDL workshop on Graph Neural Networks (GNNs) was held in SAILab on the 22nd of July. Program Morning Session 09:00: Introduction – Marco Gori 09:15: GNNs for heterogeneous information – Franco Scarselli 09:45: Graph networks for learning about complex systems – Peter Battaglia 10:15: A Deep Learning based Community Detection approach – Giancarlo […]

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[Jul 24th 2019] LabMeeting: On the Role of Time in Learning

Alessandro Betti (DIISM, University of Siena) Jul 24, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description By and large the process of learning concepts that are embedded in time is regarded as quite a mature research topic. Hidden Markov models, recurrent neural networks are, amongst others, successful approaches to learning […]

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[Jul 25th 2019] Learning to Recognize Actions in Videos

Oswald Lanz (FBK) Jul 25, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In 2015 the first artificial system has been reported to beat human performance on ImageNet visual recognition, with Top-5 error rate below 5%. This has not happened with video yet, for example, the best-ranked entry in the […]

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[Jul 10th 2019] LabMeeting: ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information

Giorgio Ciano (DIISM, University of Siena) Jul 10, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Object detection in wide area motion imagery (WAMI) has drawn the attention of the computer vision research community for a number of years. WAMI proposes a number of unique challenges including extremely small object […]

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[Jul 3rd 2019] LabMeeting: A Constraint-based Approach to Learning and Explanation

Gabriele Ciravegna (DIISM, University of Siena) Jul 3, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In the last few years we have seen a remarkable progress from the cultivation of the idea of expressing the interactions of intelligent agents with the environment by the mathematical notion of constraint. However, […]

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